Spectra Assure

warningRisk: Hardening

Scanned:

pip

Artifact:

latest

key project

Top 100

The PyPA recommended tool for installing Python packages.

License: Permissive (MIT)

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SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

2 reduced effectiveness mitigations

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

List of software quality issues with the number of affected components.

Policies

Info

Problem

Applications communicate with web services by exchanging HTTP requests. During software development, externally hosted services are used by developers to debug software quality issues relating to exchanging HTTP requests. Attackers commonly abuse tools designed for HTTP request inspection to monitor network traffic and extract sensitive information from the HTTP traffic. While the presence of domains related to HTTP inspection does not imply malicious intent, all of their uses in a software package should be documented and approved. Attackers might have purposely injected security testing tools in the software package to monitor the network traffic of the infected computer system. It is also possible that the software package has mistakenly included a part of its testing infrastructure during packaging.

Prevalence in PyPI community

11 packages

found in

Top 100

41 packages

found in

Top 1k

239 packages

found in

Top 10k

11.68k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider removing all references to flagged network locations.

Problem

Security Development Lifecycle (SDL) is a group of enhanced compile-time checks that report common coding mistakes as errors, preventing them from reaching production. These checks minimize the number of security issues by enforcing strict memory access checks. They also prevent the use of hard-to-secure string and memory manipulation functions. To prove the binary has been compiled with these checks enabled, the compiler emits a special debug object. Removing the debug table eliminates this proof. Therefore, this check only applies to binaries that still have their debug tables.

Prevalence in PyPI community

12 packages

found in

Top 100

63 packages

found in

Top 1k

326 packages

found in

Top 10k

7.08k packages

in community

Next steps

You should keep the debug table to prove that the SDL process has been followed.

To enable these checks, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable this feature by setting the compiler option /SDL to ON.

Problem

Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are commonly abused by malicious software with the intent to cause harm. When a software package shares behavior traits with malicious software, it may become flagged by security solutions. Any detection from security solutions can cause friction for the end-users during software deployment. While the behavior is likely intended by the developer, there is a small chance this detection is true positive, and an early indication of a software supply chain attack.

Prevalence in PyPI community

20 packages

found in

Top 100

92 packages

found in

Top 1k

907 packages

found in

Top 10k

43.88k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. URL paths provide additional information to a web service when making a request. They are an optional, but an important part of the URL, as they may define specific content or actions based on the data being passed. Some parameters they pass might be considered sensitive information. Since path components are not encrypted this might cause sensitive information to leak. This issue is raised for URL paths than might contain information that attackers can easily intercept. Examples of sensitive information fields include passwords and other similar parameters.

Prevalence in PyPI community

13 packages

found in

Top 100

73 packages

found in

Top 1k

504 packages

found in

Top 10k

10.91k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider removing all references to flagged network locations.

Problem

High Entropy Address Space Layout Randomization (HEASLR) is a vulnerability mitigation option that forces software components to load on a different memory base address each time they are used. This makes the memory layout unpredictable, and it is therefore harder for malicious code to be reliably injected during application runtime. Memory space that 64-bit applications have at their disposal is significantly larger, but the application needs to opt in to take the advantage.

Prevalence in PyPI community

4 packages

found in

Top 100

7 packages

found in

Top 1k

30 packages

found in

Top 10k

1.27k packages

in community

Next steps

It's highly recommended to enable this option for all 64-bit software components used at security boundaries, or those that process user controlled inputs. For best results, use HEASLR together with Data Execution Prevention (DEP/NX).

To enable this mitigation, refer to your programming language linker documentation.

In Microsoft VisualStudio, you can enable HEASLR mitigation by setting the linker option /HIGHENTROPYVA to ON.

Problem

Prevalence in PyPI community

29 packages

found in

Top 100

114 packages

found in

Top 1k

525 packages

found in

Top 10k

8.89k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

Problem

Control Flow Guard (CFG/CFI) protects the code flow integrity by ensuring that indirect calls are made only to vetted functions. This mitigation protects dynamically resolved function targets by instrumenting the code responsible for transferring execution control. Higher-level programming languages implement structured exception handling by managing their own code flow execution paths. As such, they are subject to code flow hijacking during runtime. Language-specific exception handling mitigation enforces execution integrity by instrumenting calls to manage execution context switching. Any deviation from the known and trusted code flow paths will cause the application to terminate. This makes malicious code less likely to execute.

Prevalence in PyPI community

36 packages

found in

Top 100

164 packages

found in

Top 1k

932 packages

found in

Top 10k

17.86k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. A port number is associated with a network address of a host, such as an IP address, and the type of network protocol used for communication. Within URLs, the ports are optional. Ports can be specified in a URL immediately following the domain name. Each network protocol, or schema, has a set of standard ports on which the service operates. This issue is raised when a mismatch between a network protocol and its expected port number is detected. While the presence of non-standard ports does not imply malicious intent, all of their uses in a software package should be documented and approved.

Prevalence in PyPI community

35 packages

found in

Top 100

271 packages

found in

Top 1k

1732 packages

found in

Top 10k

61.12k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider changing the port to one that is standard for the networking protocol.

Problem

Unicode is a text encoding standard designed to support the use of text written in all of the major languages and writing systems. While most languages are written from left to right, some are written in alternative directions. To accommodate encoding text written in such languages, the Unicode standard includes a number of special characters that allow the text direction to be specified. However, changing text direction can have adverse effects on how the encoded text is displayed and interpreted. For this reason, bidirectional Unicode control characters are commonly abused by malicious actors as a means of bypassing security solutions and avoiding detection. While presence of special Unicode characters does not imply malicious intent, all of its uses in a software package should be documented and approved. One example of acceptable use for these special characters is in script files that parse, validate, and transform Unicode-encoded text.

Prevalence in PyPI community

6 packages

found in

Top 100

43 packages

found in

Top 1k

287 packages

found in

Top 10k

8.02k packages

in community

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1036.002 - Masquerading: Right-to-Left Override.

Consult publicly available materials on the Trojan Source vulnerability.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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List of software quality issues with the number of affected components.

Policies

Info

Problem

Prevalence in PyPI community

11 packages

found in

Top 100

41 packages

found in

Top 1k

239 packages

found in

Top 10k

11.68k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider removing all references to flagged network locations.

Problem

Prevalence in PyPI community

12 packages

found in

Top 100

63 packages

found in

Top 1k

326 packages

found in

Top 10k

7.08k packages

in community

Next steps

You should keep the debug table to prove that the SDL process has been followed.

To enable these checks, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable this feature by setting the compiler option /SDL to ON.

Problem

Prevalence in PyPI community

20 packages

found in

Top 100

92 packages

found in

Top 1k

907 packages

found in

Top 10k

43.88k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider rewriting the flagged code without using the marked behaviors.

Problem

Prevalence in PyPI community

13 packages

found in

Top 100

73 packages

found in

Top 1k

504 packages

found in

Top 10k

10.91k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider removing all references to flagged network locations.

Problem

Prevalence in PyPI community

4 packages

found in

Top 100

7 packages

found in

Top 1k

30 packages

found in

Top 10k

1.27k packages

in community

Next steps

To enable this mitigation, refer to your programming language linker documentation.

In Microsoft VisualStudio, you can enable HEASLR mitigation by setting the linker option /HIGHENTROPYVA to ON.

Problem

Prevalence in PyPI community

29 packages

found in

Top 100

114 packages

found in

Top 1k

525 packages

found in

Top 10k

8.89k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

Problem

Prevalence in PyPI community

36 packages

found in

Top 100

164 packages

found in

Top 1k

932 packages

found in

Top 10k

17.86k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. A port number is associated with a network address of a host, such as an IP address, and the type of network protocol used for communication. Within URLs, the ports are optional. Ports can be specified in a URL immediately following the domain name. Each network protocol, or schema, has a set of standard ports on which the service operates. This issue is raised when a mismatch between a network protocol and its expected port number is detected. While the presence of non-standard ports does not imply malicious intent, all of their uses in a software package should be documented and approved.

Prevalence in PyPI community

35 packages

found in

Top 100

271 packages

found in

Top 1k

1732 packages

found in

Top 10k

61.12k packages

in community

Next steps

Investigate reported detections.

If the software should not include these network references, investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed, or until the issue is risk accepted.

Consider changing the port to one that is standard for the networking protocol.

Problem

Prevalence in PyPI community

6 packages

found in

Top 100

43 packages

found in

Top 1k

287 packages

found in

Top 10k

8.02k packages

in community

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1036.002 - Masquerading: Right-to-Left Override.

Consult publicly available materials on the Trojan Source vulnerability.

pip

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: This package had 2 removal incidents in versions published within 2 years prior to the latestLatest version with removal incident detected: 6 months agoVersion: 26.0.dev0

INCIDENTS FOR THIS VERSION:

TH17131Detected presence of files containing domains used for intercepting and inspecting HTTP requests.hunting

Problem

Prevalence in PyPI community

Next steps

SQ14138Detected Windows executable files that were compiled without following the recommended SDL process.Causes risk: misconfigured toolchains detectedhardening

Problem

Prevalence in PyPI community

Next steps

TH15103Detected presence of files with behaviors commonly used by malicious software.hunting

Problem

Prevalence in PyPI community

Next steps

TH17119Detected presence of files containing URLs with suspicious path components.hunting

Problem

Prevalence in PyPI community

Next steps

SQ14106Detected Windows executable files that do not implement the high entropy ASLR vulnerability mitigation protection.Causes risk: reduced effectiveness mitigationshardening

Problem

Prevalence in PyPI community

Next steps

SQ14122Detected Windows executable files that do not implement CFG vulnerability mitigation protection.Causes risk: modern mitigations missinghardening

Problem

Prevalence in PyPI community

Next steps

SQ14127Detected Windows executable files that do not implement long jump control flow vulnerability mitigation protection.Causes risk: low priority mitigations absenthardening

Problem

Prevalence in PyPI community

Next steps

TH17115Detected presence of files containing URLs that use non-standard ports.hunting

Problem

Prevalence in PyPI community

Next steps

TH16102Detected presence of files containing bidirectional Unicode control characters.hunting

Problem

Prevalence in PyPI community

Next steps

Did you know...

TH17131Detected presence of files containing domains used for intercepting and inspecting HTTP requests.hunting

Problem

Prevalence in PyPI community

Next steps

SQ14138Detected Windows executable files that were compiled without following the recommended SDL process.Causes risk: misconfigured toolchains detectedhardening

Problem

Prevalence in PyPI community

Next steps

TH15103Detected presence of files with behaviors commonly used by malicious software.hunting

Problem

Prevalence in PyPI community

Next steps

TH17119Detected presence of files containing URLs with suspicious path components.hunting

Problem

Prevalence in PyPI community

Next steps

SQ14106Detected Windows executable files that do not implement the high entropy ASLR vulnerability mitigation protection.Causes risk: reduced effectiveness mitigationshardening

Problem

Prevalence in PyPI community

Next steps

SQ14122Detected Windows executable files that do not implement CFG vulnerability mitigation protection.Causes risk: modern mitigations missinghardening

Problem

Prevalence in PyPI community

Next steps

SQ14127Detected Windows executable files that do not implement long jump control flow vulnerability mitigation protection.Causes risk: low priority mitigations absenthardening

Problem

Prevalence in PyPI community

Next steps

TH17115Detected presence of files containing URLs that use non-standard ports.hunting

Problem

Prevalence in PyPI community

Next steps

TH16102Detected presence of files containing bidirectional Unicode control characters.hunting

Problem

Prevalence in PyPI community

Next steps